Relation Knowledge Distillation by Auxiliary Learning for Object Detection-Reference-Cited by-同舟云学术

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Relation Knowledge Distillation by Auxiliary Learning for Object Detection

Published:2024 Issue: Volume:33 Page:4796-4810
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wang Hao¹^ORCID,Jia Tong¹^ORCID,Wang Qilong²^ORCID,Zuo Wangmeng³^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. College of Intelligence and Computing, Tianjin University, Tianjin, China

3. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/83/10346232/10648897.pdf?arnumber=10648897

Reference61 articles.

1. Deep Residual Learning for Image Recognition

2. Aggregated Residual Transformations for Deep Neural Networks

3. Deformable Convolutional Networks

4. End-to-End Object Detection with Transformers

5. Dynamic DETR: End-to-End Object Detection with Dynamic Attention

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